In the gun sound location system, how to use more information to quickly locate is a very important issue. In the current study, the muzzle wave has been used for single-point positioning to determine the position of the sniper, but it lacks the ballistic positioning of the flying missile. Tracking and localization using the Mach waves generated by the bullet's flight can also estimate the location of the sniper. The trajectory after the Kalman filter is more in line with the actual bullet flight trajectory, and the position of the sniper can be well resolved by using the least squares estimation. Finally, the CRLB of the proposed method is derived, and the effectiveness of the proposed method is verified by simulation.
In recent years, radar high-resolution range profile target recognition(HRRP) based on deep learning has achieved good result in practical recognition tasks. However, due to the limitations of various conditions in the realistic environment, it is difficult to obtain enough samples, which greatly limits recognition performance. From the perspective of transfer learning, this paper proposes a target recognition method of few HRRPs based on distance-based distribution calibration and dynamic pseudo-label fine-tuning(FCPL). This method calibrates the distribution of the features of target domain samples according to the distance in the feature space. Moreover, it creates pseudo-labels with source data in the label space of the target domain to fine-tune the model. Experimental results show that the method this paper proposed achieves higher recognition accuracy than traditional transfer learning and meta-learning on four types of few-shot targets. In addition, the method can be built on most model structures or methods and achieve the smooth transition from few-shot target recognition task to many-shot task.
For gate lobe suppression of distributed array, a method based on genetic algorithm combining array layout optimization and frequency synthesis is proposed to suppress grating lobe. This paper first introduces the principle of gate lobe generation and the basic principle of genetic algorithm, then the method of gate lobe suppression by array layout optimization based on genetic algorithm and the method of gate lobe suppression by frequency synthesis based on genetic algorithm are given. Finally, the method of combining space and frequency to restrain grating lobe based on genetic algorithm is presented. Simulation analysis shows that the combination of space and frequency has better suppression effect than the single array layout optimization or frequency synthesis.
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